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Добавлено: Ср Июл 08, 2026 1:00 am Заголовок сообщения: find friends on facebook |
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Hello, visitor!
Article about find friends on facebook:
In this article by the authors, Vikram Garg and Sharan Kumar Ravindran , of the book, Mastering Social Media Mining with R, we learn about data mining using Facebook as our resource. (For more resources related to this topic, see here.) We will see how to use the R package Rfacebook , which provides access to the Facebook Graph API from R. It includes a series of functions that allow us to extract various data about our network such as friends, likes, comments, followers, newsfeeds, and much more.
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We will discuss how to visualize our Facebook network and we will see some methodologies to make use of the available data to implement business cases. Rfacebook package installation and authentication. The Rfacebook package is authored and maintained by Pablo Barbera and Michael Piccirilli. It provides an interface to the Facebook API. It needs Version 2.12.0 or later of R and it is dependent on a few other packages, such as httr , rjson , and httpuv . Before starting, make sure those packages are installed. It is preferred to have Version 0.6 of the httr package installed. Installation. We will now install the Rfacebook packages. We can download and install the latest package from GitHub using the following code and load the package using the library function. On the other hand, we will also install the Rfacebook package from the CRAN network. One prerequisite for installing the package using the function install_github is to have the package devtools loaded into the R environment. The code is as follows: After installing the Rfacebook package for connecting to the API, make an authentication request. This can be done via two different methods. The first method is by using the access token generated for the app, which is short-lived (valid for two hours), on the other hand, we can create a long-lasting token using the OAuth function. Let’,s first create a temporary token.
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